In order to improve the output prediction accuracy of wind-solar hybrid power plants,an output prediction model of wind-solar hybrid power plants based on adaptive neural network was proposed.The unit output of the wind-solar hybrid power plant is analyzed,and a generalized regression neural network model and a radial basis neural network model are established.A solution model of joint dynamic group cooperative optimization algorithm and sine-cosine optimization algorithm is proposed,and the model is used to calculate the wind-solar hybrid forecast,and the effectiveness of the model proposed in this paper is demonstrated by simula-tion analysis.
关键词
神经网络/风光互补/出力预测/自适应网络
Key words
neural network/wind and solar complementarity/output forecast/adaptive network
维普
万方数据